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### 🚀 Build RAG with AI

This Weekend | A Step-by-Step Workshop for AI Builders

### 💡 The Opportunity

Building Retrieval-Augmented Generation (RAG) used to mean wrestling with complex vector databases, chunking strategies, and endless boilerplate code to connect models to your private data.
Not anymore.
Now, you can visually orchestrate powerful RAG pipelines and seamlessly link LLMs to your own knowledge bases. Index, retrieve, and deploy context-aware agents without getting bogged down in repetitive backend infrastructure.
The bottleneck of data-grounded development is gone. Learn how to direct this architecture and build AI systems that actually know your data.

### 🎯 What You'll Learn

  • The Basics: Understand the core concepts of vector stores, embeddings, and how RAG acts as your context retrieval engine.
  • Easy Setup: A streamlined, straightforward guide to getting your document ingestion workspace up and running.
  • Live Demo: Watch step-by-step as we build a real, functional RAG workflow from scratch.
  • Seamless Integration: See how effortlessly you can connect your AI models to custom documents, databases, and everyday apps.
  • Deploy Faster: Learn how to quickly roll out knowledge-based workflows to supercharge your systems or side projects.

### 🤝 Who Should Attend?

  • Software Engineers: Skip the boilerplate and visually build complex, multi-step RAG pipelines.
  • AI Builders: Automate your product features and internal ops with context-aware AI without heavy dev cycles.
  • AI Enthusiasts: Move from generic chat prompts to intelligent, data-grounded agents.
  • Curious Minds: See the future of context-aware automation and agentic AI in action.

### 📌 The Details

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